Deep Liquid State Machines With Neural Plasticity for Video Activity Recognition

Real-world applications such as first-person video activity recognition require intelligent edge devices. However, size, weight, and power constraints of the embedded platforms cannot support resource intensive state-of-the-art algorithms. Machine learning lite algorithms, such as reservoir computin...

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Bibliographic Details
Main Authors: Nicholas Soures, Dhireesha Kudithipudi
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-07-01
Series:Frontiers in Neuroscience
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.00686/full